Markets have become accustomed to roaring earnings beats from Nvidia. (Picture: Nvidia)Markets were lackluster on the last quarterly report of $68.13 billion in revenue for the AI chipmaker, as revenue growth seems to be slipping, Reuters reports.
The full year revenue hit $215.9 billion, up 65% year-on-year, with Data Center revenue hitting a record of $62.3 billion — which is responsible for their AI chips.
Nvidia also raised its guidance for Q1 2026, and is certainly not seeing any slowdown:
Chinese attacks risk bypassing the safeguards Anthropic builds into its models. (Picture: Anthropic)Anthropic claims to have discovered industrial scale extraction of Claude data from DeepSeek, Moonshot AI and MiniMax.
The massive attacks were used to improve their own models with agentic reasoning, tool use, and coding capabilities, violating Anthropic’s Terms of Service and creating a national security risk, they say.
Distillation works by sending millions of prompts to an AI to incorporate its techniques and capabilities into their own models, drastically reducing training time and costs.
They also circumvent Anthropic’s protections for use in developing bioweapons and malicious cyber activities, Anthropic says. Once these models are open sourced, this becomes available to anyone.
— These campaigns are growing in intensity and sophistication. The window to act is narrow, and the threat extends beyond any single company or region, Anthropic writes.
Kanye West can now sing perfectly in Mandarin, thanks to ByteDance’s new video model. (Picture: screenshot)The new video generator, released on Thursday, is already being hyped by state media as bigger than the launch of DeepSeek, Reuters reports.
ByteDance has yet to publish any real numbers, but videos of Kim Kardashian and Kanye West singing in Mandarin have gone viral on Weibo and x.com with millions of views.
Nvidia chips are available in China, but users need permission to buy them. (Picture: Adobe)Not much is known about the AI inference chips, or how they compare to Nvidia’s offerings, but ByteDance is going to be making about 100,000 of them «this year,» and then scale up to 350,000 units, according to Reuters.
ByteDance has been known to work with US chip producer Broadcom, and started seriously hiring chip specialists in 2022.
The new chips are set to be produced with Samsung in a deal that includes memory chips, which definitely sweetens the deal.
Production is advanced enough that Reuters’ sources say engineering samples are due by late March, which is the last stage before production.
A spokesperson for the company does not deny the report outright, but claims the information is «inaccurate,» Reuters writes.
Most US frontier labs are developing their own chips, as is Alibaba and Baidu.
China is great at playing catch-up, but can they innovate? That’s the next challenge, Hassabis, says. (Picture: Wikipedia, CC BY-SA 4.0The CEO of Google’s DeepMind has some choice words for China in a recent podcast.
They might be «just a matter of months» begin Western capabilities, he tells CNBC.
— The question is, can they innovate something new beyond the frontier? So I think they’ve shown they can catch up … and be very close to the frontier … But can they actually innovate something new, like a new transformer … that gets beyond the frontier? I don’t think that’s been shown yet, he tells the new podcast The Tech Download.
The key tech to unlock Chinese AI is access to chips, he says, where the USA is far ahead. The US recently okay’ed exports of the powerful H200 chip from Nvidia, but reception in China has been lukewarm from authorities.
— To invent something is about 100 times harder than it is to copy it, says Hassabis on the podcast. — That’s the next frontier really, and I haven’t seen evidence of that yet, but it’s very difficult.
The H200 was getting popular in China, being miles ahead on performance. (Picture: generated)Several sources are telling Reuters that the H200 chips are not permitted to enter, and authorities have told technology execs explicitly to not purchase the chips.
The H200 was cleared by Commerce for export to China in December and got finally approved this week.
The H200 chip is a huge leap forward for Chinese infrastructure firms, compared to local capacity. (Picture: Generated)Citing five sources familiar with the matter, Reuters reports a boom in Chinese chip orders from Nvidia, which far outstrips supply.
Nvidia currently sits on some 600K high performance H200 chips, recently cleared for China, but Chinese companies have placed orders for a whopping 2 million of them for 2026.
This has led Nvidia to re-approach TSMC for another production run, Reuters reports.
This is notwithstanding regulatory pressure from the Chinese government, who have not said if they will allow the chips in the country.
They are instead considering bundling H200 purchases with domestically produced chips, Reuters says, in order to boost their internal industry.
It is almost like China has learned from AI adoption in the west. (Picture: generated)Newly published AI rules in China address both AI psychosis, and forbids spreading of rumors or endangering national security.
They also require that any AI that engages with people should announce at the start that they are talking to an AI, with new warnings every two hours, writes Gizmodo.
Also forbidden are «illegal religious activities,» obscenity, violence or crime, and the list goes on to cover libel and insults, material that damages relationships — or encouraging self harm and suicide.
There aren’t just warnings for using AI chatbots too long, but providers should also assess the user’s emotional state — and take «necessary measures to intervene,» writes Reuters.
Alibaba won’t say if they’ll use any Nvidia chips, but says they can help out with robotics. (Picture: Adobe)Nvidia chips are as good as banned in China, but that doesn’t stop the internet giant Alibaba from partnering with the chip supplier — and see its stocks surge 10%.
Alibaba recently decided to «double down» on AI, according to this Reuters report, and promised $53 billion in AI infrastructure investments during the next three years – with even more coming.
Nvidia is slated to help develop physical AI functions like data synthesis, model training, environmental simulation and validation testing, Reuters says.